📝 Add comparison between pandas, Polars, Dask and DuckDB

Author: veit

docs/workspace/pandas/index.rst

@@ -28,7 +28,7 @@ Python code. Mostly pandas is used to
 
 .. tip::
    `Analysing data with pandas
-   <https://cusy.io/en/our-training-courses/analysing-data-with-pandas>`_
+   <https://cusy.io/en/our-training-courses/analysing-data-with-pandas.html>`_
 
 .. seealso::
     * `Home
@@ -40,6 +40,31 @@ Python code. Mostly pandas is used to
     * `GitHub
       <https://github.com/pandas-dev/pandas/>`_
 
+pandas vs. Polars vs. Dask and DuckDB
+-------------------------------------
+
+The choice between pandas, `Polars <https://pola.rs>`_,
+:doc:`/performance/dask`, and `DuckDB <https://duckdb.org>`_ depends on the type
+of workload:
+
+pandas
+    is the canonical Python DataFrame library for analysis on a single machine.
+Polars
+    is written in Rust and allows for powerful analysis on a single node or when
+    `lazy evaluation <https://en.wikipedia.org/wiki/Lazy_evaluation>`_ and
+    `expressions API
+    <https://docs.pola.rs/api/python/stable/reference/expressions/index.html>`_
+    are important.
+Dask
+    is a Python library for parallel computing that scales familiar APIs,
+    including pandas and `Scikit-Learn <https://scikit-learn.org/stable/>`_, to
+    clusters.
+DuckDB
+    is an in-process `OLAP
+    <https://en.wikipedia.org/wiki/Online_analytical_processing>`_ database for
+    analysis and SQL over **local** files, which often complements pandas
+    DataFrames as it is excellent for in-process analysis and SQL tasks.
+
 .. toctree::
     :hidden:
     :titlesonly: